Reliability of Smartphone-Based Vibration Threshold Measurements
Smartphone-based measurement platforms can collect data on human sensory function in an accessible manner. We developed a smartphone app that measures vibration perception thresholds by commanding vibrations with varying amplitudes and recording user responses via (1) a staircase method that adjusts...
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creator | Adenekan, Rachel A. G Yoshida, Kyle T Benyoucef, Anis Reyes, Alejandrina Gonzalez Adenekan, Adeyinka E Okamura, Allison M Nunez, Cara M |
description | Smartphone-based measurement platforms can collect data on human sensory
function in an accessible manner. We developed a smartphone app that measures
vibration perception thresholds by commanding vibrations with varying
amplitudes and recording user responses via (1) a staircase method that adjusts
a variable stimulus, and (2) a decay method that measures the time a user feels
a decaying stimulus. We conducted two studies with healthy adults to assess the
reliability and usability of the app when the smartphone was applied to the
hand and foot. The staircase mode had good reliability for repeated
measurements, both with and without the support of an in-person experimenter.
The app has the potential to be used at home in unguided scenarios. |
doi_str_mv | 10.48550/arxiv.2401.14468 |
format | Article |
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function in an accessible manner. We developed a smartphone app that measures
vibration perception thresholds by commanding vibrations with varying
amplitudes and recording user responses via (1) a staircase method that adjusts
a variable stimulus, and (2) a decay method that measures the time a user feels
a decaying stimulus. We conducted two studies with healthy adults to assess the
reliability and usability of the app when the smartphone was applied to the
hand and foot. The staircase mode had good reliability for repeated
measurements, both with and without the support of an in-person experimenter.
The app has the potential to be used at home in unguided scenarios.</description><identifier>DOI: 10.48550/arxiv.2401.14468</identifier><language>eng</language><subject>Computer Science - Human-Computer Interaction</subject><creationdate>2024-01</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2401.14468$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2401.14468$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Adenekan, Rachel A. G</creatorcontrib><creatorcontrib>Yoshida, Kyle T</creatorcontrib><creatorcontrib>Benyoucef, Anis</creatorcontrib><creatorcontrib>Reyes, Alejandrina Gonzalez</creatorcontrib><creatorcontrib>Adenekan, Adeyinka E</creatorcontrib><creatorcontrib>Okamura, Allison M</creatorcontrib><creatorcontrib>Nunez, Cara M</creatorcontrib><title>Reliability of Smartphone-Based Vibration Threshold Measurements</title><description>Smartphone-based measurement platforms can collect data on human sensory
function in an accessible manner. We developed a smartphone app that measures
vibration perception thresholds by commanding vibrations with varying
amplitudes and recording user responses via (1) a staircase method that adjusts
a variable stimulus, and (2) a decay method that measures the time a user feels
a decaying stimulus. We conducted two studies with healthy adults to assess the
reliability and usability of the app when the smartphone was applied to the
hand and foot. The staircase mode had good reliability for repeated
measurements, both with and without the support of an in-person experimenter.
The app has the potential to be used at home in unguided scenarios.</description><subject>Computer Science - Human-Computer Interaction</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz8tOwzAQhWFvWKDCA7CqXyDBbnzdARU3qahSG7GNZuqJYilNKjsg-vYthdXZ_TofY3dSlMppLe4h_cTvcqGELKVSxl2zhw31ETD2cTryseXbPaTp0I0DFU-QKfDPiAmmOA687hLlbuwD_yDIX4n2NEz5hl210Ge6_d8Zq1-e6-VbsVq_vi8fVwUY6wq1swgSAUQrjTYmoPYWHIVKO6ukB4XCorfSG_CSWquEDRXCgnYGiWw1Y_O_7IXQHFI8Hz02v5TmQqlOcvJEoA</recordid><startdate>20240125</startdate><enddate>20240125</enddate><creator>Adenekan, Rachel A. G</creator><creator>Yoshida, Kyle T</creator><creator>Benyoucef, Anis</creator><creator>Reyes, Alejandrina Gonzalez</creator><creator>Adenekan, Adeyinka E</creator><creator>Okamura, Allison M</creator><creator>Nunez, Cara M</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240125</creationdate><title>Reliability of Smartphone-Based Vibration Threshold Measurements</title><author>Adenekan, Rachel A. G ; Yoshida, Kyle T ; Benyoucef, Anis ; Reyes, Alejandrina Gonzalez ; Adenekan, Adeyinka E ; Okamura, Allison M ; Nunez, Cara M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a678-4c7ba1baa0f16566db597a8ed3587419a4b07b97196a91ef7407d3ba2ec6bee73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Human-Computer Interaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Adenekan, Rachel A. G</creatorcontrib><creatorcontrib>Yoshida, Kyle T</creatorcontrib><creatorcontrib>Benyoucef, Anis</creatorcontrib><creatorcontrib>Reyes, Alejandrina Gonzalez</creatorcontrib><creatorcontrib>Adenekan, Adeyinka E</creatorcontrib><creatorcontrib>Okamura, Allison M</creatorcontrib><creatorcontrib>Nunez, Cara M</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Adenekan, Rachel A. G</au><au>Yoshida, Kyle T</au><au>Benyoucef, Anis</au><au>Reyes, Alejandrina Gonzalez</au><au>Adenekan, Adeyinka E</au><au>Okamura, Allison M</au><au>Nunez, Cara M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability of Smartphone-Based Vibration Threshold Measurements</atitle><date>2024-01-25</date><risdate>2024</risdate><abstract>Smartphone-based measurement platforms can collect data on human sensory
function in an accessible manner. We developed a smartphone app that measures
vibration perception thresholds by commanding vibrations with varying
amplitudes and recording user responses via (1) a staircase method that adjusts
a variable stimulus, and (2) a decay method that measures the time a user feels
a decaying stimulus. We conducted two studies with healthy adults to assess the
reliability and usability of the app when the smartphone was applied to the
hand and foot. The staircase mode had good reliability for repeated
measurements, both with and without the support of an in-person experimenter.
The app has the potential to be used at home in unguided scenarios.</abstract><doi>10.48550/arxiv.2401.14468</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Human-Computer Interaction |
title | Reliability of Smartphone-Based Vibration Threshold Measurements |
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